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Found 3 papers, 1 papers with code
Towards Generalizable and Faithful Logic Reasoning over Natural Language via Resolution Refutation
To address this issue, we propose a novel framework, named Generalizable and Faithful Reasoner (GFaiR), which introduces the paradigm of resolution refutation.
Text Difficulty Study: Do machines behave the same as humans regarding text difficulty?
Given a task, human learns from easy to hard, whereas the model learns randomly.
Domain-Specific Sentiment Word Extraction by Seed Expansion and Pattern Generation
This paper focuses on the automatic extraction of domain-specific sentiment word (DSSW), which is a fundamental subtask of sentiment analysis.
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